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Professor David Grainger is a faculty member at the University of Birmingham's School of Biosciences, specializing in Molecular Microbiology. He leads the Grainger Lab, focusing on bacterial chromosome biology, pathogenicity, and antibiotic resistance. His research integrates high-throughput techniques and single-molecule analysis to study gene regulation and bacterial pathogenesis. Education: PhD (2004), PGCE (2000), BSc (1999) in Biochemistry from the University of Birmingham. Affiliations: Part of the Institute of Microbiology and Infection (IMI), collaborating with experts in genomics, proteomics, and structural biology. Research Interests: Deciphering chromosome biology of pathogenic bacteria, including transcriptional regulation, toxin production control, and antibiotic resistance pathways. Utilizes cutting-edge methods like Hi-C for 3D chromatin analysis and single-molecule microscopy. Recent Articles: Focused on transposon capture mechanisms, bacterial promoter diversity, and quorum sensing signaling. Highlights include studies on Salmonella regulons and Vibrio cholerae biofilm suppression. Awards: Wellcome Trust Career Development Fellowship (2008), Runner-up in 'Science Snaps' competition for scientific communication. Grants: Career Development Fellowship-funded establishment of his research group at the University of Warwick (2008). Labs/Teams: Grainger Lab at the University of Birmingham, part of the IMI network. Engages in public science outreach via Twitter and lab website.

• Bacterial Chromosome Biology
• Pathogenicity
• Antibiotic Resistance Mechanisms
• +3 more

Mark Wallace is a Professor of Chemistry at King's College London, affiliated with the Department of Chemistry and the Faculty of Natural, Mathematical & Engineering Sciences. He holds a Royal Society University Research Fellowship (2005–2016) and has been a lecturer at Oxford University before joining King's in 2016. His research focuses on membrane protein function and artificial membrane mimics, combining optical microscopy and nanotechnology. He earned a PhD from the University of Cambridge (2002) and postdoctoral training at Stanford University and the National Institute for Medical Research. Key research interests include membrane protein dynamics, lipid bilayer engineering, and single-molecule imaging. He has pioneered techniques like droplet interface bilayers and interferometric scattering microscopy. His work has led to patents and applications in molecular sensing and medical research. Awards include the 2002 Gregorio Weber Prize and the 2015 RSC Norman Heatley Award. He is actively involved in public outreach, including video podcasts and educational competitions. Recent publications emphasize artificial ion channels, nanoparticle formation monitoring, and mitochondrial protein dynamics. His lab collaborates with institutions like the London Centre for Nanotechnology and the Rosalind Franklin Institute. Over 30 students and researchers have been mentored, with active grants from EPSRC, Wellcome Trust, and BBSRC.

• Membrane Biology
• Biophysics
• Optical Microscopy
• +3 more

Professor Carl Edward Rasmussen is affiliated with the University of Cambridge , where he focuses on Machine Learning , Probabilistic Inference , Decision Making , and Reasoning Under Uncertainty . His work bridges theoretical advancements with practical applications in robotics, control systems, and computational biology. Academic Affiliation: University of Cambridge Academic Role: Professor His research emphasizes scalable Gaussian process methods, Bayesian system identification, and reinforcement learning. Recent projects include transfer learning for antibacterial discovery , graph neural processes for molecular functions , and efficient variational inference techniques . Key themes in his publications highlight uncertainty quantification , model generalization , and nonparametric approaches . Notable Scientific Contributions Advancements in sparse Gaussian process hyperparameter estimation Framework for Bayesian system identification in dynamic systems Hybrid models combining transformers and Gaussian processes

• Machine Learning
• Probabilistic Inference
• Decision Making
• +1 more

Jim Smith is a Professor in Interactive Artificial Intelligence at the University of the West of England (UWE), Bristol, affiliated with the School of Computing and Creative Technologies and the Department of Computer Science and Creative Technologies. He serves as Director of the Computer Science Research Centre and leads the AI@UWE theme. His research is supported by UKRI, Innovate UK, and partnerships with organizations including Health Data Research UK, Office for National Statistics, NHS Scotland, and DSTL. University: University of the West of England School: School of Computing and Creative Technologies Department: Department of Computer Science and Creative Technologies Role: Professor in Interactive Artificial Intelligence Leadership: Director, Computer Science Research Centre Research Interests : Jim Smith's work focuses on Interactive Artificial Intelligence, particularly at the intersection of AI and privacy preservation when using sensitive data for public good. His research includes statistical disclosure control, privacy leakage from AI models, evolutionary computation, machine learning, and systems that learn through human interaction or self-adaptation. He explores how AI can automate privacy checks in research outputs and assess vulnerabilities in trained models. Recent Publications : His recent work spans AI privacy in trusted research environments (e.g., SACRO, SDC-Reboot), dialogue act classification, human-robot interaction, and visualization of deep learning models. Themes include privacy-preserving AI, automated disclosure control, interactive machine learning, and neuromorphic computing. Machine Learning & Privacy Evolutionary Computation Interactive AI Systems Human-Computer Interaction Statistical Disclosure Control Federated Learning Security Scientific Awards : No specific awards are mentioned in the provided texts. Advising and Grants : He currently supervises PhD students on topics including spatio-temporal air quality modeling, federated learning privacy, and threat detection in mobile networks. He leads Innovate UK and UKRI-funded projects such as SACRO and SDC-Reboot, focusing on AI-driven solutions for data confidentiality in public sector research. Interactive Machine Learning for Claim Settlement (Innovate UK) SDC-Reboot (DARE UK/Health Data Research UK) Threat Identification in Mobile Networks (Ribbon Communications) Labs and Teams : He leads the AI@UWE initiative and the Computer Science Research Centre at UWE. His work involves collaboration through DARE UK and open-source development via the AI-SDC GitHub organization, which hosts tools from SACRO and GRAIMATTER projects.

• Interactive Artificial Intelligence
• Statistical Disclosure Control
• Privacy Leakage from AI Models
• +7 more

Caetano Reis e Sousa is a Professor of Immunology at Imperial College London and Senior Group Leader/Assistant Research Director at the Francis Crick Institute. He leads the Immunobiology Laboratory, focusing on dendritic cell biology, immune responses to pathogens, and cancer immunotherapy. His research explores how dendritic cells detect pathogens and dying cells, triggering adaptive immunity. Key roles include investigating cross-presentation mechanisms, C-type lectin receptors (e.g., DNGR-1), and vaccine development strategies. Education: BSc (Hons) Biology from Imperial College London (1989), DPhil in Immunology from University of Oxford (1992). Postdoctoral training at NIH under Ron Germain. Career milestones include founding the Immunobiology Lab at CRUK London Research Institute (1998–2015) before joining the Crick. Awards & Recognition: Highly Cited Researcher (Thomson Reuters), BD Biosciences Prize (2002), Liliane Bettencourt Award (2008), Louis-Jeantet Prize (2017), Fellowships at Royal Society (2019), Academy of Medical Sciences (2006), and EMBO (2006). Named Officer of the Order of Sant'Iago da Espada (Portugal, 2009). Research Themes: Dendritic cell activation pathways, cross-presentation of tumor antigens, microbiome-cancer immunity links, and immune evasion mechanisms. Collaborations involve institutions like UCL, King's College London, and global health networks. Labs/Teams: Head of Immunobiology Lab at Crick, with expertise in immunology, cell biology, and virology. Facilities include Flow Cytometry, Genomics, and Light Microscopy cores. Active in pandemic response (e.g., SARS-CoV-2 testing initiatives).

• Immunology
• Infectious Disease
• Cancer Immunotherapy
• +3 more

Isabella Guido is a Senior Lecturer in Experimental Soft Matter Physics at the University of Surrey's School of Mathematics and Physics. She holds a PhD from TU Berlin (2010) and has conducted postdoctoral research at Peking University and the Max Planck Institute for Dynamics and Self-Organization. Her research focuses on synthetic biology, active bioinspired systems, and microtubule-motor protein dynamics. Guido's work bridges active matter physics and synthetic biology, aiming to develop minimal systems mimicking natural cellular structures. Key projects include synthetic beating structures resembling cilia, 3D active nematics, and investigations into cellular symmetry breaking via biomimetic systems. Her education includes a PhD on dielectrophoretic effects in mammalian cells, followed by postdoctoral studies on cell mechanics, microfluidics, and electroporation. Guido's interdisciplinary approach combines experimental biophysics with synthetic biology to uncover principles governing living matter. She leads the Synthetic Active Systems group and collaborates internationally on projects such as light-powered artificial cells and motor-driven microtubule networks. Her work addresses sustainable development goals through bio-inspired material design and active matter applications. Publications highlight contributions to electrotaxis mechanisms, live-cell imaging techniques (e.g., MIET), and microtubule network dynamics under depletion forces. Guido's research has advanced understanding of ciliary beating patterns, synthetic axoneme models, and biopolymer self-organization under mechanical stress.

• Synthetic Biology
• Active Bioinspired Systems
• Active Matter
• +3 more

Dr Thomas Maguire is a Visiting Fellow with the King's Intelligence and Security Group in the Department of War Studies at King's College London, and Assistant Professor of Intelligence and Security at Leiden University. His research focuses on intelligence-propaganda interactions and international security cooperation, particularly in Cold War Southeast Asia and counter-terrorism contexts. Education: PhD in International Relations (POLIS, University of Cambridge) MPhil in International Relations (POLIS, University of Cambridge) BA (Hons) in History (Durham University) Maguire's research examines the intersection of intelligence operations and propaganda dissemination in foreign policy contexts, with specialized focus on British and American covert action in Southeast Asia. He also investigates post-colonial security relationships and international counter-terrorism cooperation frameworks. His work spans historical analysis and contemporary security challenges. Maguire's publications demonstrate interdisciplinary research across public health, virology, and immunology, particularly addressing COVID-19 diagnostics, vaccine development, and immune responses. This reflects methodological versatility in addressing complex global security and health challenges through both historical analysis and biomedical research. Scientific Awards: Lisa Smirl Prize for best thesis (University of Cambridge) Maguire leads the Dutch Government-funded 'Sharing Secrets' project investigating intelligence disclosure decision-making. He teaches intelligence studies courses and co-convenes the Cambridge Intelligence Seminar. At Leiden, he coordinates undergraduate and postgraduate programs in Intelligence Studies and Crisis Management. Maguire previously served as Research Fellow at Darwin College and the Department of Politics and International Studies (University of Cambridge), and as John Garnett Visiting Fellow at the Royal United Services Institute focusing on East African security challenges.

• International Relations
• Intelligence Studies
• Security Cooperation
• +3 more

Dr. Jeannine Baumgartner is a Lecturer in the Department of Nutritional Sciences at King's College London and an Extraordinary Associate Professor at North-West University, South Africa. She holds an MSc and PhD in Human Nutrition from ETH Zurich, Switzerland. Key Appointments : Lecturer at King's College London (2022–present), Senior Scientist at ETH Zurich (2018–2022), Associate Professor at North-West University (2018). Research Focus : Optimal early-life nutrition for maternal/child health, iron and omega-3 fatty acid interventions, stable isotope methodologies, HIV-metabolic interactions, and mental health-diet links. Her recent work explores iron absorption dynamics in Thai children, maternal iron status in South Africa, and omega-3 fatty acids in depression. She leads an NIHR-funded project to reassess UK iron reference values. Scientific Leadership : Board Member, International Society for the Study of Fatty Acids and Lipids (ISSFAL) Editorial Board, European Journal of Clinical Nutrition

• Nutritional Sciences
• Micronutrients
• Omega-3 Fatty Acids
• +6 more

Yang Luo is a Kennedy Trust Senior Research Fellow in Data Science at the University of Oxford's Kennedy Institute of Rheumatology. His research bridges statistical genomics and computational immunology to unravel genetic contributions to immune-mediated traits, with a focus on the major histocompatibility complex (MHC) region. His work leverages large biobank datasets (UK Biobank, Biobank Japan), gene expression resources (GTEx), and proteomic data to decode molecular mechanisms linking genetic variation to disease risk. Specific interests include tuberculosis genetics, multi-ancestry polygenic risk scores, and single-cell eQTL modeling. Recent publications highlight expertise in HLA association studies, evolutionary immunogenetics, and disease-specific cell state dynamics. Key contributions include constructing a global HLA haplotype panel and developing novel statistical methods for admixed population genetics. Scientific Awards: Kennedy Trust Senior Research Fellow in Data Science His lab integrates computational and experimental approaches to translate genetic findings into clinical applications for immune disorders.

• Statistical Genomics
• Computational Immunology
• Human Genetics
• +2 more

Professor Malcolm Kadodwala holds the Gardiner Chair within the School of Chemistry at the University of Glasgow. His research spans chiral nanophotonics, surface science, and spectroscopy with applications in biomolecular detection and nanomaterials. He maintains an active laboratory producing high-impact publications in top journals including Nature Nanotechnology, ACS Nano, and JACS. PhD from University of Nottingham Gardiner Chair in School of Chemistry Active research group with extensive international collaborations His research interests focus on three interconnected themes: (1) spectroscopic investigations of electronic properties in nanostructured materials; (2) development of electron-based chirally sensitive spectroscopic techniques; and (3) creation of novel chiroptical spectroscopic probes. Current work emphasizes superchiral fields for ultrasensitive biomolecular detection, chiral plasmonics, and nanoscale light-matter interactions. His group has pioneered techniques for detecting protein conformations and viral structures at unprecedented sensitivity levels. Publication trends show consistent high-impact output with 15+ recent articles (2021-2025) in nanophotonics and chiral sensing. His work bridges physics, chemistry, and biology, with strong emphasis on practical biosensing applications. Key journals include Nano Letters, ACS Nano, and Nature Nanotechnology. PhD from University of Nottingham Professor Kadodwala advises multiple PhD students including Calum Jack, Affar Karimullah, and Ryan Tullius. His research has attracted significant funding including an MRC discipline-hopping grant (Ref. G0902256). He maintains active collaborations with institutions worldwide including EPFL, University of Jena, and Heriot-Watt University. His laboratory specializes in chiral plasmonic nanostructures and superchiral field generation, with applications in disposable biosensors and viral detection platforms. Current projects involve nanoscale control of electronic properties using structured light and development of chiral metasurfaces for advanced optical applications.

• Chiral Nanophotonics
• Surface Science
• Spectroscopy
• +5 more

Professor Charlotte Deane is a leading academic in structural bioinformatics, holding the position of Professor at the University of Oxford's Department of Statistics and Executive Chair of the Engineering and Physical Sciences Research Council (EPSRC). She leads the Oxford Protein Informatics Group (OPIG), focusing on protein structure prediction, immunoinformatics, and AI-driven drug discovery. Her research integrates computational methods with biological insights, developing tools widely used in academia and industry. Prior roles include Head of the Department of Statistics, Deputy Head of the Mathematical, Physical and Life Sciences (MPLS) Division at Oxford, and Chief Scientist of Biologics AI at Exscientia. During the COVID-19 pandemic, she served on SAGE and as UKRI's COVID-19 Response Director. In 2022, she was awarded an MBE for her contributions to pandemic research. Her research group's work spans antibody design, T-cell receptor analysis, and small molecule discovery, with a focus on open-source software development. Current projects include advancing AI methods for protein structure prediction and therapeutic antibody engineering. Recent publications highlight innovations in computational drug design, antibody developability, and machine learning applications in structural biology.

• Structural Bioinformatics
• Protein Structure Prediction
• Immunoinformatics
• +3 more

John Diffley is a Principal Group Leader and Associate Research Director at The Francis Crick Institute in London, UK, where he leads research on DNA replication mechanisms. His work focuses on understanding how cells precisely duplicate their DNA during cell division and how errors in this process contribute to cancer development. Diffley obtained his PhD from New York University in 1985 and completed postdoctoral training with Bruce Stillman at Cold Spring Harbor Laboratory until 1990. He established his research group at the Clare Hall Laboratories (originally Imperial Cancer Research Fund, then Cancer Research UK) before moving to The Francis Crick Institute in 2015. His research spans DNA replication initiation, cell cycle control, replication fork checkpoints, and epigenetic inheritance. Diffley's lab has pioneered methods to reconstitute chromatin replication using purified proteins, providing unprecedented insights into chromosome biology. His team combines genetics, cell biology, and biochemistry to study the molecular 'machines' that copy DNA in yeast and human cells. Analysis of Diffley's recent publications reveals a strong focus on structural mechanisms of DNA replication, particularly using cryo-EM to visualize replication machinery. His work examines helicase loading and activation, replication fork stability under stress, and the connection between replication errors and cancer development. The research spans model organisms to human cells, with increasing emphasis on structural approaches in recent years. FRS (Fellow of the Royal Society) FMedSci (Fellow of the Academy of Medical Sciences) Diffley actively mentors a diverse team of postdoctoral researchers and PhD students, investigating various aspects of DNA replication. His lab has received substantial funding to support their work on replication mechanisms, with projects spanning basic biochemical reconstitution to studies of replication errors in cancer contexts. The lab maintains multiple technical platforms including structural biology, biochemistry, and cell biology approaches. His research group operates within The Francis Crick Institute's collaborative environment, utilizing shared facilities for structural biology, microscopy, and genomics to advance understanding of DNA replication mechanisms and their implications for genome stability and disease.

• DNA Replication
• Cell Cycle Control
• Chromosome Biology
• +5 more

Dr Jonathan Cook is a Research Fellow at Jesus College, University of Oxford, affiliated with the Medical Sciences division. He holds a primary medical qualification from Queen’s University (Canada, 2021) and a PhD investigating viral immune evasion mechanisms under Prof Jeffrey Lee. His work was supported by the Vanier Canada Graduate Scholarship and recognized with the Stuart Alan Hoffman Memorial Prize. As an incoming Banting Fellow at the Jenner Institute, he focuses on vaccine design for infectious diseases. His research interests include malaria eradication, emerging pathogens, and structure-based vaccine strategies. **Education**: - PhD (Investigation of viral entry glycoproteins), University of Toronto, supervised by Prof Jeffrey Lee - Primary Medical Qualification, Queen’s University, Canada **Research Interests**: - Malaria Eradication : Developing vaccines targeting Plasmodium species. - Emerging Infectious Diseases : Designing rapid-response strategies for pathogens like SARS-CoV-2. - Structure-Based Vaccine Design : Leveraging protein structural data to enhance immunogenicity. **Awards**: - Vanier Canada Graduate Scholarships Programme (2017–2020) - Stuart Alan Hoffman Memorial Prize (2021) - Banting Fellowship (incoming) **Grants/Advising**: Works on Jenner Institute-funded projects. No listed advisees yet. **Labs/Teams**: Collaborates with Prof Lee's lab at the Jenner Institute and the University of Toronto's Medical Microbiology program.

• Malaria Eradication
• Emerging Infectious Diseases
• Structure-Based Vaccine Design
• +3 more

Matthew Gaunt is the 1702 Yusuf Hamied Professor of Chemistry at the University of Cambridge , specializing in C–H activation , visible-light photocatalysis , and bioconjugation . He leads a research group in Lab 177 , focusing on alkylamine synthesis and chemical biology applications. Gaunt's group has 23 members, including 14 PhD students and 6 postdocs. His research spans catalytic reactivity for organic synthesis, with a focus on metal-catalyzed C–H activation , photoredox strategies , and high-throughput experimentation for rapid reaction development. Key innovations include stereoselective methods for β-lactam synthesis and methionine-targeted protein modification . Scientific Awards & Fellowships: GlaxoWellcome Postdoctoral Fellowship Ramsay Memorial Fellow His group contributes to the SynTech Centre for Doctoral Training , integrating automation and data science into chemical synthesis education. Current students include Joseph Phelps, Marcus Grocott, James Robinson, and Tobias Kraus under his direct supervision.

• Organic Chemistry
• Catalysis
• Chemical Biology
• +6 more

Professor Paul C. Bressloff holds the Chair in Applied Mathematics and Stochastic Processes at Imperial College London's Department of Mathematics within the Faculty of Natural Sciences. His research focuses on stochastic and non-equilibrium processes, particularly in molecular and cell biology, utilizing tools from probability theory, statistical physics, and dynamical systems. He authored a seminal textbook Stochastic Processes in Cell Biology (Springer), with a 2nd edition published in 2022. Previously, he led the graduate program in mathematical biology at the University of Utah from 2001 to 2023. Research interests include stochastic multi-particle systems, active particles, phase separation, and diffusion across semi-permeable interfaces. His work spans applications in neural field theory, cytoneme-mediated morphogenesis, and protein trafficking. He is affiliated with the Biomathematics Group and Mathematical Physics Group at Imperial. Recent articles explore stochastic resetting in search processes, narrow-capture problems, and hybrid models of switching diffusions. His advising includes over 20 graduate students, many now faculty in mathematical biology. His contributions bridge applied mathematics and biological systems, emphasizing interdisciplinary approaches to complex stochastic phenomena.

• Applied Mathematics
• Mathematical Physics
• Neurosciences
• +4 more